pyannotators-entityfishing
Annotator based on entity-fishing for named entity recognition and disambiguation against Wikidata.
Installation
pip install pyannotators-entityfishing
For noun-form filtering (optional):
pip install pyannotators-entityfishing[spacy]
python -m spacy download en_core_web_sm # or other language models
Usage
from pymultirole_plugins.v1.schema import Document
from pyannotators_entityfishing.entityfishing import EntityFishingAnnotator, EntityFishingParameters
annotator = EntityFishingAnnotator()
parameters = EntityFishingParameters(
default_label="ENTITY",
minSelectorScore=0.3,
)
docs = annotator.annotate(
[Document(text="Albert Einstein was born in Ulm.", metadata={"language": "en"})],
parameters,
)
for ann in docs[0].annotations:
print(f"{ann.start}:{ann.end} {ann.labelName} {ann.terms[0].identifier}")
Development
Install test dependencies:
uv pip install -e ".[test]"
Linting
uv run ruff check src/ tests/
uv run ruff format --check src/ tests/
Testing
uv run pytest
Coverage
uv run pytest --cov=src --cov-report=term-missing
SBOM & vulnerability check
Install the SBOM dependencies:
uv sync --extra sbom
Generate a CycloneDX SBOM from the current environment:
uv run cyclonedx-py environment -o sbom.cdx.json --output-format json
Audit dependencies for known vulnerabilities:
uv run pip-audit --format json --output audit-report.json
To fail on any known vulnerability (useful in CI):
uv run pip-audit --strict
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pyannotators_entityfishing-1.6.51.tar.gz.
File metadata
- Download URL: pyannotators_entityfishing-1.6.51.tar.gz
- Upload date:
- Size: 9.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
uv/0.12.8 {"installer":{"name":"uv","version":"0.12.8","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"12","id":"bookworm","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
37529570b4723f9aa9acd2e81af8e5b720a7aed251ed0722380ac9aabb6faf78
|
|
| MD5 |
6b3a02ccb71eff21f7ab69e5f52644fc
|
|
| BLAKE2b-256 |
201e98d4ed5d9ad20be9d66313f6df077682f1752609b3dbd4ab2943fedbdb31
|
File details
Details for the file pyannotators_entityfishing-1.6.51-py3-none-any.whl.
File metadata
- Download URL: pyannotators_entityfishing-1.6.51-py3-none-any.whl
- Upload date:
- Size: 10.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
uv/0.12.8 {"installer":{"name":"uv","version":"0.12.8","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"12","id":"bookworm","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a0b6dd728ba1f9a494224cb596a67b18a57ec97de77691c8a1f491d94f76dbf9
|
|
| MD5 |
63e688450d7c083b649890e2f897d278
|
|
| BLAKE2b-256 |
cb78a4adee824654d31623fc5cb4eda279d118f10572a0b7615e85b4f016bbb0
|
